Experience in ML – Decision Trees, Random Forests, Rule Mining, Clustering, PCA, Support Vector Machine, Ensemble techniques
Expertise in DL – Neural networks, word embeddings, categorical embedding, RNN and LSTM, word2vec, encoder/ decoder models, attention and transformer models, transfer learning (ULMFiT), foundation models from
